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Q4 Climate change 2013 Data collected from around the globe show that the earth is getting warmer. The most common theory relates climate change to an increase in atmospheric levels of carbon dioxide (CO2), a greenhouse gas. The mean annual CO2 concentration in the atmosphere (parts per million) is measured at the top of Mauna Loa in Hawaii (away from any local contaminants) and available at ftp://aftp.cmdl.noaa.gov/products/trends/co2/co2 annmean mlo.txt The mean surface air temperature is recorded as the change in °C relative to a base period of 1951 to 1980. It is available at data.giss.nasa.gov/gistemp/graphs v3/ Here are a scatterplot and regression for the years from 1970 to 2013: 14.6 + 14.4 + 14.2 + 14.0 340 360 380 CO2 Response variable is R-squared = 73.6% R-squared (adjusted) = 72.9% s = 0.1316 with 44 2 42 degrees of freedom Global Avg Temp Variable Coefficient SE(Coeff) t-Ratio P.Value Intercept 10.6442 0.3418 31.1 s0.0001 CO, 0.010325 0.0010 10.8 S0.0001 a) Write the equation of the regression line. b) Is there evidence of an association between CO2 level and global temperature? c) Do you think predictions made by this regression will be very accurate? Explain. d) Does this regression prove that increasing CO2 levels are causing global warming? Discuss. Global Avg Temp

Q4 Climate change 2013 Data collected from around the globe show that the earth is getting warmer. The most common theory relates climate change to an increase in atmospheric levels of carbon dioxide (CO2), a greenhouse gas. The mean annual CO2 concentration in the atmosphere (parts per million) is measured at the top of Mauna Loa in Hawaii (away from any local contaminants) and available at ftp://aftp.cmdl.noaa.gov/products/trends/co2/co2 annmean mlo.txt The mean surface air temperature is recorded as the change in °C relative to a base period of 1951 to 1980. It is available at data.giss.nasa.gov/gistemp/graphs v3/ Here are a scatterplot and regression for the years from 1970 to 2013: 14.6 + 14.4 + 14.2 + 14.0 340 360 380 CO2 Response variable is R-squared = 73.6% R-squared (adjusted) = 72.9% s = 0.1316 with 44 2 42 degrees of freedom Global Avg Temp Variable Coefficient SE(Coeff) t-Ratio P.Value Intercept 10.6442 0.3418 31.1 s0.0001 CO, 0.010325 0.0010 10.8 S0.0001 a) Write the equation of the regression line. b) Is there evidence of an association between CO2 level and global temperature? c) Do you think predictions made by this regression will be very accurate? Explain. d) Does this regression prove that increasing CO2 levels are causing global warming? Discuss. Global Avg Temp

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
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Q4 Climate change 2013 Data collected from around the globe show that the earth is getting warmer. The most common theory relates climate change to an increase in atmospheric levels of carbon dioxide (CO2), a greenhouse gas. The mean annual CO2 concentration in the atmosphere (parts per million) is measured at the top of Mauna Loa in Hawaii (away from any local contaminants) and available at ftp://aftp.cmdl.noaa.gov/products/trends/co2/co2 annmean_mlo.txt The mean surface air temperature is recorded as the change in °C relative to a base period of 1951 to 1980. It is available at data.giss.nasa.gov/gistemp/graphs_v3/ Here are a scatterplot and regression for the years from 1970 to 2013: 14.6 14.4 14.2 14.0 + 340 360 380 CO2 Response variable is R-squared = 73.6% R-squared (adjusted) = 72.9% s = 0.1316 with 44 2 42 degrees of freedom Global Avg Temp Variable Coefficient SE(Coeff) t-Ratio P.Value Intercept 10.6442 0.3418 31.1 S0.0001 CO2 0.010325 0.0010 10.8 S0.0001 a) Write the equation of the regression line. b) Is there evidence of an association between CO2 level and global temperature? c) Do you think predictions made by this regression will be very accurate? Explain. d) Does this regression prove that increasing CO2 levels are causing global warming? Discuss. Global Avg Temp
Transcribed Image Text:Q4 Climate change 2013 Data collected from around the globe show that the earth is getting warmer. The most common theory relates climate change to an increase in atmospheric levels of carbon dioxide (CO2), a greenhouse gas. The mean annual CO2 concentration in the atmosphere (parts per million) is measured at the top of Mauna Loa in Hawaii (away from any local contaminants) and available at ftp://aftp.cmdl.noaa.gov/products/trends/co2/co2 annmean_mlo.txt The mean surface air temperature is recorded as the change in °C relative to a base period of 1951 to 1980. It is available at data.giss.nasa.gov/gistemp/graphs_v3/ Here are a scatterplot and regression for the years from 1970 to 2013: 14.6 14.4 14.2 14.0 + 340 360 380 CO2 Response variable is R-squared = 73.6% R-squared (adjusted) = 72.9% s = 0.1316 with 44 2 42 degrees of freedom Global Avg Temp Variable Coefficient SE(Coeff) t-Ratio P.Value Intercept 10.6442 0.3418 31.1 S0.0001 CO2 0.010325 0.0010 10.8 S0.0001 a) Write the equation of the regression line. b) Is there evidence of an association between CO2 level and global temperature? c) Do you think predictions made by this regression will be very accurate? Explain. d) Does this regression prove that increasing CO2 levels are causing global warming? Discuss. Global Avg Temp
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